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poker-cards-cxcvz/1 (latest)
poker cards Computer Vision Project
Roboflow 100
Updated 2 years ago
13k
views695
downloadsTags
Classes (53)
10 Diamonds
10 Hearts
10 Spades
10 Trefoils
2 Diamonds
2 Hearts
2 Spades
2 Trefoils
3 Diamonds
3 Hearts
3 Spades
3 Trefoils
4 Diamonds
4 Hearts
4 Spades
4 Trefoils
5 Diamonds
5 Hearts
5 Spades
5 Trefoils
59
6 Diamonds
6 Hearts
6 Spades
6 Trefoils
7 Diamonds
7 Hearts
7 Spades
7 Trefoils
8 Diamonds
8 Hearts
8 Spades
8 Trefoils
9 Diamonds
9 Hearts
9 Spades
9 Trefoils
A Diamonds
A Hearts
A Spades
A Trefoils
J Diamonds
J Hearts
J Spades
J Trefoils
K Diamonds
K Hearts
K Spades
K Trefoils
Q Diamonds
Q Hearts
Q Spades
Q Trefoils
Metrics
mAP is equal to the average of the Average Precision metric across
all
classes in a
model.
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mAP
Precision measures how often your model's predictions are correct.
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Precision
Recall measures what percentage of relevant labels were successfully
identified.
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Recall
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Description
This dataset was originally created by Team Roboflow and Augmented Startups. To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/roboflow-100/poker-cards-cxcvz.
This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.
Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Cite This Project
LICENSE
CC BY 4.0
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
poker-cards-cxcvz_dataset,
title = { poker cards Dataset },
type = { Open Source Dataset },
author = { Roboflow 100 },
howpublished = { \url{ https://universe.roboflow.com/roboflow-100/poker-cards-cxcvz } },
url = { https://universe.roboflow.com/roboflow-100/poker-cards-cxcvz },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2025-04-03 },
}
